from app.tapex import execute_query import gradio as gr def main(): description = "Querying a csv using TAPEX model. You can ask a question about tabular data. TAPAS model " \ "will produce the result. Finetuned TAPEX model runs on max 5000 rows and 20 columns data. " \ "A sample data of shopify store sales is provided" article = "

Unscrambl | TAPAS Model

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" iface = gr.Interface(fn=execute_query, inputs=[gr.Textbox(label="Search query"), gr.File(label="CSV file")], outputs=[gr.JSON(label="Result"), gr.Dataframe(label="All data")], examples=[ ["What is the highest order_amount?", "shopify.csv"], ["Which user_id has the highest order_amount?", "shopify.csv"], ["Which payment method was used the most?", "shopify.csv"] ], title="Xray Question Answering (TAPEX) with your own transactions", description=description, article=article, allow_flagging='never') # Use this config when running on Docker # iface.launch(server_name="0.0.0.0", server_port=7000) iface.launch(enable_queue=True) if __name__ == "__main__": main()